Google Analytics → MySQL
AI-first ETL from Google Analytics into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into MySQL
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Google Analytics: Web and product analytics for behavior and traffic insights.
MySQL: Widely used OSS relational engine (InnoDB).
How Google Analytics entities map to MySQL
| Google Analytics entity | MySQL object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → JSON columns |
| events | google_analytics_events | DATETIME/TIMESTAMP events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics's custom fields in MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the Google Analytics to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Google Analytics
- Google Analytics → Microsoft SQL Server
- Google Analytics → Oracle Database
- Google Analytics → Snowflake
- Google Analytics → Google BigQuery
- Google Analytics → Amazon Redshift
- Google Analytics → Databricks SQL Warehouse
- Google Analytics → ClickHouse
- Google Analytics → DuckDB
- Google Analytics → Amazon Athena
- Google Analytics → Amazon S3 Data Lake
- Google Analytics → Azure Data Lake Storage
- Google Analytics → Azure Synapse
Early access
Connect Google Analytics to MySQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.